Sound event localization and detection (SELD) is a combined task that classifies acoustic
events from audio signals, estimates temporal boundaries, and identifies event locations …

Distance estimation from audio plays a crucial role in various applications, such as acoustic
scene analysis, sound source localization, and room modeling. Most studies predominantly …

The research conducted within the audio signal processing field is increasingly focusing on
environmental sound classification. This paper presents a low-complexity Fully …

Traditional sensor-based methods that detect machine malfunctions in industrial
environments are often costly and complex; sound-based anomaly detection offers a simpler …

This work aims to advance sound event detection (SED) research by presenting a new large
language model (LLM)-powered dataset namely wild domestic environment sound event …

In this paper, we propose a method for estimating the classes and directions of static audio
objects using stereo microphones in a drone environment. Drones are being increasingly …

Sound anomaly detection is a task that aims at identifying unusual or abnormal sounds
within audio data. These sounds could be caused by different factors, such as background …

This study investigates the improvement in recognizing and categorizing acoustic events in
complex audio environments through a combination of convolutional neural networks …

In recent years, video data has been extensively used for surveillance purposes. Anyway, if
a fight can be recognized by everyone, abnormal sounds could pass unnoticed. Moreover, if …

Energy efficiency and network lifetime maximization-based event detection are still major
challenges in wireless sensor networks-Internet of Things (IoT). However, current efforts …